omnisafe
Safe RL framework
A framework designed to accelerate the development of safe reinforcement learning algorithms by providing a modular, high-performance platform for parallel computing and out-of-box toolkits.
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
954 stars
40 watching
133 forks
Language: Python
last commit: almost 2 years agoLinked from 1 awesome list
benchmarkconstraint-rlconstraint-satisfaction-problemdeep-learningdeep-reinforcement-learningmachine-learningpytorchreinforcement-learningsafe-reinforcement-learningsafe-rlsaferlsafety-criticalsafety-gymsafety-gymnasium
ethicalml/awesome-production-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
| pku-alignment/safety-gymnasium | A unified benchmark for safe reinforcement learning algorithms and environments. | 410 |
 matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 8 |
 sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 507 |
 luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 755 |
 iffix/machin | An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 402 |
 kaixhin/rainbow | A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,591 |
 layssi/carla_ray_rlib | An open-source reinforcement learning framework for autonomous driving tasks using the Carla-Simulator environment and Ray/Rllib libraries. | 35 |
 kunqian2025/reinforcement-learning | A collection of implementations of reinforcement learning algorithms in MATLAB | 61 |
 astooke/rlpyt | A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch | 2,236 |
 toni-sm/skrl | A modular reinforcement learning library with support for various environments and frameworks | 588 |
 horizonrobotics/alf | A framework for implementing complex reinforcement learning algorithms with flexibility and ease of implementation | 306 |
 enlite-ai/maze | An RL framework for building and training reinforcement learning models in Python | 266 |
 securitygames/oef | Provides tools and algorithms for developing reinforcement learning policies in game environments. | 3 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
 ai-secure/crfl | This project presents a framework for robust federated learning against backdoor attacks. | 71 |